The Mobility and Machine Intelligence Lab (M2 Lab) at Stony Brook University brings together game theory and data-driven optimization to develop next-generation modeling and computational tools for mobility and logistics systems, with a focus on connectivity, electrification, and automation. See Research for details.
We are recruiting fully funded PhD students beginning Spring/Fall 2027, as well as motivated MS and BS students. See Openings for details.
News
- 2026.08.24 We are delighted to welcome Zhanyu Feng and Rui Chen, who join the lab this fall as Ph.D. students.
- 2026.08.04 Congratulations to Charlotte Cain, an undergraduate researcher in the lab, who was named URECA Researcher of the Month for her work exploring AI and education. Very well deserved.
- 2026.07.20 Dr. Liu presented Large-Scale Inverse Learning of User Equilibrium via Multiconvex Optimization in a podium session at the 26th International Symposium on Transportation and Traffic Theory (ISTTT26) in Munich.
- 2026.05.20 We are pleased to share that Large-scale inverse learning of user equilibrium via multiconvex optimization is now published in Transportation Research Part B.
- 2026.05.01 Congratulations to undergraduate researchers Evelyn Sun and Jacqueline Louie, who presented at the SUNY AI Symposium here at Stony Brook on how game-theoretic models and large language models can support the safe integration of autonomous vehicles into traffic.
- 2025.07.26 We are pleased to share that End-to-End Learning of User Equilibrium: Expressivity, Generalization, and Optimization, co-authored with Dr. Yafeng Yin, is now published in Transportation Science.
Earlier news
- 2025.03.11 Dr. Liu was honored as the sole global recipient of the 2025 Helene M. Overly Memorial Scholarship ($10,000) from the WTS International Foundation, recognizing her contributions to research and to the community.